Computing a similarity measure over moving object trajectories

a technology of similarity and moving objects, applied in the direction of road vehicle traffic control, measurement devices, instruments, etc., can solve the problems of conventional efforts that have not been able to accurately determine and track complex trajectories

Inactive Publication Date: 2017-08-29
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, conventional efforts have fallen far short of their potential to accurately determine and track complex trajectories.

Method used

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  • Computing a similarity measure over moving object trajectories
  • Computing a similarity measure over moving object trajectories
  • Computing a similarity measure over moving object trajectories

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Embodiment Construction

[0017]It will be readily understood that the components of the embodiments of the invention, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations in addition to the described exemplary embodiments. Thus, the following more detailed description of the embodiments of the invention, as represented in the figures, is not intended to limit the scope of the embodiments of the invention, as claimed, but is merely representative of exemplary embodiments of the invention.

[0018]Reference throughout this specification to “one embodiment” or “an embodiment” (or the like) means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, appearances of the phrases “in one embodiment” or “in an embodiment” or the like in various places throughout this specification are not necessarily all referring to the same emb...

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Abstract

Methods and arrangements for measuring similarity with respect to moving object trajectories. First and second moving object trajectories are input, each trajectory being defined by at least two spatial dimensions and a temporal dimension. At least one segment is defined with respect to each trajectory, each segment being defined between two defining points. At least one segment from the first trajectory is matched with at least one segment from the second trajectory. A spatial distance and temporal distance are each computed between the at least one segment from the first trajectory and the at least one segment from the second trajectory. The spatial distance and temporal distance are combined to provide a measure of a spatio-temporal distance between the at least one segment from the first trajectory and the at least one segment from the second trajectory. Other variants and embodiments are broadly contemplated herein.

Description

BACKGROUND[0001]Generally, with a significant increase in the availability of GPS (global positioning system)-enabled devices, such as smart phones and car navigation systems, there is an array of applications that can benefit from the ability to monitor, track, and query trajectories of moving objects. Example application domains include traffic monitoring, GPS-based routing, security and public safety. However, conventional efforts have fallen far short of their potential to accurately determine and track complex trajectories.BRIEF SUMMARY[0002]In summary, one aspect of the invention provides a method of measuring similarity with respect to moving object trajectories, said method comprising: inputting first and second moving object trajectories, each trajectory being defined by at least two spatial dimensions and a temporal dimension, each trajectory including at least two defining points; defining at least one segment with respect to each trajectory, each segment being defined be...

Claims

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Application Information

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Patent Type & Authority Patents(United States)
IPC IPC(8): G01C21/20G08G1/00G01C21/26G01S5/02
CPCG08G1/20G01C21/26G01S5/02G01S5/0294
Inventor DESHPANDE, PRASAD M.PADMANABHAN, DEEPAK S.RAGHAVAN, SRIRAMRANU, SAYANTELANG, ADITYA D.
Owner IBM CORP
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